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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01henry1477 /pcbslm-static-v2-unsloth-vlm PCBSLM static-v2 Unsloth VLM Portable multimodal Unsloth dataset for PCB layout/document-grounded training. The JSONL splits use Unsloth/Gemma-style chat messages: { "messages": [ {"role": "user", "content": [ {"type": "image", "image": "assets/raw_docs/.../images/page.png"}, {"type": "text", "text": "instruction..."} ]}, {"role": "assistant", "content": [ {"type": "text", "text": "{...json answer...}"} ]} ] } Files… See the full description on the dataset page: https://huggingface.co/datasets/henry1477/pcbslm-static-v2-unsloth-vlm.documentimage-text-to-text1K<n<10K0 likes186 downloads5mo agoHugging Face02iBlessi /pc-builder-parts-2026 PC Builder Parts Dataset 2026 Machine-readable dataset of 2026 PC parts with compatibility rules, US street prices, and performance-tier estimates. Open, machine-readable dataset of 2026 PC parts with compatibility rules (socket, chipset, RAM type, PSU wattage, GPU and case clearance), US street prices, and performance-tier estimates. Powers the TechFuelHQ PC Builder. Source and license Canonical page, full method and change log:… See the full description on the dataset page: https://huggingface.co/datasets/iBlessi/pc-builder-parts-2026.textn<1K0 likes53 downloads24d agoHugging Face03Hzou9 /PCBSchemaGen-Benchmarks PCBSchemaGen Benchmarks Two benchmark suites for LLM-driven PCB schematic synthesis, from the paper PCBSchemaGen: Reward-Guided LLM Code Synthesis for Printed Circuit Board (PCB) Schematic Design with Structured Verification. Correctness in this domain is not defined by unit tests: there are no per-task golden references, and SPICE does not validate schematic-level correctness. Instead, each task is scored by a deterministic structural verifier against real-IC pin- and… See the full description on the dataset page: https://huggingface.co/datasets/Hzou9/PCBSchemaGen-Benchmarks.tabulartext-generationn<1K0 likes45 downloads2mo agoHugging Face04ALIENS232 /PCBench Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models 📃 Paper • 🤗 Dataset • 🖥️ Code Updates [2025/05] We released codes for this project. Contents Introduction Key Findings Data Construction Install Run Code Citation Introduction Large language models (LLMs) have witnessed rapid advancements, demonstrating remarkable capabilities. However, a notable… See the full description on the dataset page: https://huggingface.co/datasets/ALIENS232/PCBench.textquestion-answering1K<n<10K2 likes40 downloads1y agoHugging Face05henry147691 /pcb_testtext1K<n<10K0 likes6 downloads5mo agoHugging Face06mehax /pc_buildtext1K<n<10K0 likes4 downloads1y agoHugging Face07EchoVortex /PCbEbPmxPqbayOlatextn<1K0 likes3 downloads1y agoHugging Face

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